1 instantiation of ColumnConcatenatingEstimator
Microsoft.ML.Data (1)
Transforms\ExtensionsCatalog.cs (1)
116=> new ColumnConcatenatingEstimator(CatalogUtils.GetEnvironment(catalog), outputColumnName, inputColumnNames);
14 references to ColumnConcatenatingEstimator
Microsoft.ML.AutoML.Tests (2)
SweepableExtensionTest.cs (2)
50var estimator = context.Transforms.Concatenate("output", "input"); 187var estimator = context.Transforms.Concatenate("output", "input");
Microsoft.ML.Data (5)
Transforms\ColumnConcatenatingEstimator.cs (2)
46/// Initializes a new instance of <see cref="ColumnConcatenatingEstimator"/> 54_host = env.Register(nameof(ColumnConcatenatingEstimator));
Transforms\ColumnConcatenatingTransformer.cs (1)
36/// <see cref="ITransformer"/> resulting from fitting an <see cref="ColumnConcatenatingEstimator"/>.
Transforms\ExtensionsCatalog.cs (2)
100/// Create a <see cref="ColumnConcatenatingEstimator"/>, which concatenates one or more input columns into a new output column. 115public static ColumnConcatenatingEstimator Concatenate(this TransformsCatalog catalog, string outputColumnName, params string[] inputColumnNames)
Microsoft.ML.Samples.OneDal (3)
Program.cs (3)
67var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray); 99var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray); 131var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray);
Microsoft.ML.Tests (4)
OnnxConversionTest.cs (1)
774var pipeline = mlContext.Transforms.Concatenate("Features", "VectorDouble1", "VectorDouble2");
Scenarios\Api\CookbookSamples\CookbookSamplesDynamicApi.cs (1)
48var pipeline = mlContext.Transforms.Concatenate("AllFeatures", "Education", "MaritalStatus");
TrainerEstimators\OneDalEstimators.cs (1)
57var preprocessingPipeline = ML.Transforms.Concatenate("Features", new string[] { "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7" });
Transformers\ConcatTests.cs (1)
28var pipe = ML.Transforms.Concatenate("Features");